The standard treatment for the cancer is the radiotherapy where the organs nearby the target
volumes get affected during treatment called the Organs-at-risk. Segmentation of Organs-at …

Imaging plays a fundamental role in the effective diagnosis, staging, management, and
monitoring of various cardiac pathologies. Successful radiological analysis relies on …

Automatic whole heart segmentation plays an important role in the treatment and research of
cardiovascular diseases. In this paper, we propose an improved Deep Forest framework …

Deep learning technology has achieved breakthrough research results in the fields of
medical computer vision and image processing. Generative adversarial networks (GANs) …

Purpose The importance of mitral valve therapies is rising due to an aging population.
Visualization and quantification of the valve anatomy from image acquisitions is an essential …

Magnetic resonance (MR) tomographic images are routinely used in diagnosis of liver
pathologies. Liver segmentation is needed for these types of images. It is therefore an …

Whole cardiac segmentation in chest CT images is important to identify functional
abnormalities that occur in cardiovascular diseases, such as coronary artery disease (CAD) …

The objective of this article is to automatically segment organs at risk (OARs) for thoracic
radiology in computed tomography (CT) scan images. The OARs in the thoracic anatomical …

Purpose Coronary artery calcium (CAC) score has shown to be an accurate predictor of
future cardiovascular events. Early detection by CAC scoring might reduce the number of …

Due to the complexity of the hearts anatomy blurred boundaries of its surrounding organs in
cardiac CT images, the whole heart segmentation is still a big challenge. In this paper …